Title: Pricing Information and Validating Network Classifiers
Speaker: Eric Bax, Yahoo!
Pricing Information: In auctions for online advertising, data providers
tell advertisers which users are the best bets for their ads. So
advertisers buy a combination of information (from data providers) and
advertising space (from publishers like Yahoo). How much should
advertisers pay for each? Let's have a hands-on experience to find out.
Validating Network Classifiers: Networks are fundamental to our lives,
from the network of gene interactions that shapes our bodies to the
social networks that can eat up the hours of our lives. :-) Collective
classification uses network structure to predict node information. For
example, if your friends all like jazz, are you likely to as well?
Since networks grow by adding nodes based on the nodes already in the
network, nodes are not drawn i.i.d. This makes trouble for most machine
learning approaches to validation of classifier performance. We will
discuss a method to validate network classifiers that is based on
understanding how the network grows.
Eric Bax does research in machine learning, algorithms, and economics.
He has a PhD from Caltech and a BS from Furman University. He has
taught math and computer science as a Peace Corps volunteer in Botswana
and as a professor at University of Richmond. He has worked at
iSpheres, Applied Minds, Google, and Yahoo.